摘要
对压力变送器误差补偿原理进行深入研究,采用BP神经网络算法对由温度变化造成的压力传感器输出结果的误差进行补偿。首先分析压力变送器测量影响因素,建立神经网络补偿模型,其次通过部分实验样本数据进行训练得到具体神经网络结构,并通过剩余实验样本数据验证神经网络的有效性。实验结果表明,该方法有效的抑制了温度对压力传感器输出的影响,提高了传感器测量结果的稳定性和准确性,可以在变送器设计、生产中采用该方法进行温度补偿。
The error compensation principle of pressure transmitter is deep studied,BP neural network algorithm is used to compensate the output error caused by temperature change of the pressure sensor First the factors affecting the meas- urement of pressure transmitter is analysed , A neural network model is established, next part of the experimental data for training to get neural network structure, And the effectiveness is verified by the experimental data of residual neural network, The results show that the method can effectively restrain the influence of temperature on the output of the pressure sensor and improve the stability and accuracy of the sensor, the method of temperature compensation can be used in the transmitter design, production.
出处
《国外电子测量技术》
2017年第6期50-52,66,共4页
Foreign Electronic Measurement Technology
关键词
压力传感器
温度补偿
神经网络
pressure transmitter
temperature compensation
neural network
